Skill set (28)
Nyírő in a few words
Hi, I’m a data scientist with a background in machine learning, mathematical modelling and biomedical engineering. I worked as a researcher at Nokia Bell Labs, where I developed novel algorithms for data analysis and optimization. I have experience in applying machine learning techniques to various domains, such as natural language processing, computer vision, recommender systems, and network optimization.
As a freelance data scientist, I can help you with your data-related challenges, such as:
- Data collection and cleaning
- Data exploration and visualization
- Data modelling and analysis
- Machine learning model development and deployment
- Data science report writing and presentation
I have proficiency in Python, C++, MatLab, SQL, and other data science tools and frameworks. I can work with different data types, such as structured, unstructured, text, image, audio, video, etc. I can also handle large-scale data sets using cloud platforms such as AWS or Google Cloud.
I’m passionate about finding insights from data and solving real-world problems using machine learning. I’m always eager to learn new skills and technologies, and I’m open to feedback and collaboration. If you are looking for a reliable, professional, and creative data scientist for your project, don't hesitate to get in touch with me. I would love to hear from you and discuss how we can work together.
Experience
- Hungarian Academy of SciencesResearcherRESEARCHSeptember 2019 - June 2021 (1 year and 10 months)Budapest, Hungary• Coded a machine learning-assisted, BRCA-2 gene mutation analysis pipeline, and improved the speed and accuracy of the breast cancer risk prognoses.• Developed an epileptic seizures prediction tool and achieved up to 90% accuracy in the 30 minutes before the seizure by a self-designed signal processing and CNN-BiLSTM neural network.• Managed massive EEG and genetic databases• Collaborated with a multidisciplinary team
- NokiaData ScientistTELECOMMUNICATIONSMay 2017 - June 2019 (2 years and 2 months)Budapest, Hungary• Developed data cleaning, analysis and visualization solution for descriptive and predictive modelling of telecommunication data.• Gained experience in python, c++ and machine learning.• Created presentations and documentation on the team's methods and results.
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